Results 71 to 80 of about 2,017,475 (299)
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob +2 more
wiley +1 more source
A hydrate reservoir renovation device and its application in nitrogen bubble fracturing [PDF]
Natural gas hydrate (GH) is a significant potential energy source due to its large reserves, wide distribution, high energy density, and low pollution.
J. Lu +20 more
doaj +1 more source
Building a Diabetes Data Warehouse to Support Decision making in healthcare industry
data warehousing did not find its way easily and readily into healthcare and medicine, not like others financial institutions, Healthcare presents unique challenges for the architect of a data warehouse and the information needs for Health data warehouse
Abubakar Ado +4 more
semanticscholar +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
BackgroundNoncommunicable diseases (NCDs) have become the main public health concern worldwide. With rapid economic development and changes in lifestyles, the burden of NCDs in China is increasing dramatically every year. Monitoring is a critical measure
Li, Sixuan +4 more
doaj +1 more source
In data warehousing, Extract, Transform, and Load (ETL) processes are in charge of extracting the data from the data sources that will be contained in the data warehouse. Their design and maintenance is thus a cornerstone in any data warehouse development project.
Muñoz, Lilia +2 more
openaire +2 more sources
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Bekele Boche, Tidenek Mulugeta, Tadesse Gudeta Department of Social and Administrative Pharmacy, School of Pharmacy, Faculty of Health Sciences, Jimma University, Jimma, Oromia, EthiopiaCorrespondence: Tidenek Mulugeta Email tidenek11@gmail.comBackground:
Boche B, Mulugeta T, Gudeta T
doaj
Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
BackgroundTo reduce the mortality related to bladder cancer, efforts need to be concentrated on early detection of the disease for more effective therapeutic intervention. Strong risk factors (eg, smoking status, age, professional
Sandie Cabon +5 more
doaj +1 more source

